Navigating the future of data talent - understanding tomorrow’s trends
Data Science,HR/Recruitment/Talent/People
Edinburgh
The pandemic has accelerated a number of global changes to the data sector across the workplace, employment propositions and the management of data talent.
Now more than ever organisations operating in data must adapt and evolve with emerging trends in order to attract and retain the best talent.
Join us as our panel of industry experts discuss current and emerging market conditions and consider what the future of talent may look like for the data industry
Our panelists will discuss:
- Data talent trends - the post covid reality
- Embracing globalisation, purpose and reward to create an effective data workforce
- Diversity & Inclusion in data teams - benefits and efforts. A realistic appraisal
- Into the Unknown - how to face an uncertain future
Elizabeth Hollinger, Director of Insight - Data - Aggreko
Elizabeth is ranked among the most influential practitioners in data and analytics in Data IQ’s Big Data 100. She has held senior roles at Deloitte UK and is the Chief Data Officer Governing Body Member at Evanta, a Gartner company.
Elizabeth has been a guest on many industry panels and podcasts talking about diversity and inclusion in the data industry and how to develop a leadership style.
Donne Burrows, Chief Operating Officer & Co-Founder - Engine B
An accomplished business transformation programme leader, Donne has over 20 years’ experience in both professional services and industry roles. Donne spent 14 years at KPMG working in a variety of client-facing and strategic internal roles focusing on large scale operational transformation and laterally the impact of AI and digital on the professional services industry. Donne co-founded Engine B in response to the burning platform for change within professional services.
Greig Cowan, Head of Data Science & Engineering for Data Innovation - NatWest
Greig Cowan is a data science and engineering leader in the financial services domain who is passionate about building data-driven solutions and transforming the enterprise through MLOps best-practices. Over the past four years, his team have delivered data and machine learning-led products across NatWest Group and have defined how people, process, data, and technology should work together to optimize time-to-business-value. He leads the NatWest Group data science community, builds links with academic and commercial partners, and provides leadership and guidance to the technical teams building the bank’s data and analytics infrastructure.
Prior to joining NatWest Group, he spent many years as a scientific researcher in high-energy particle physics as a leading member of the LHCb collaboration at the CERN Large Hadron Collider.
Tim Smith, Head of Talent - ClearScore
Tim is a veteran talent acquisition leader delivering strategic hiring solutions to scale international technology and data-led businesses. Managing a global talent acquisition function with a focus on building diverse teams that achieve peak performance, Tim is currently Head of Talent at ClearScore, a fintech credit marketplace with 17m users across 4 global territories.
Event Chair - Robin Huggins, Director of Client Services - MBN Solutions
As Director of Client Services for MBN Solutions, Rob has spent over two decades at the sharp end of Talent Acquisition practice for the Data sector. During this time, he has partnered with some of the UK’s leading data-driven businesses to deliver best-in-class talent solutions. In addition, working in an advisory capacity, Rob designed, built, and delivered the Data Lab’s MSc Placement Programme, has contributed to forums including Scotland’s AI Strategy and DMA Council and sits on University of Glasgow’s School of Maths & Stats Industrial Advisory Board.
A regular data industry blogger and event host, Rob also now hosts a data leadership focussed podcast called Boss’n’Data and has been recognised by Data IQ as one of their 100 most influential Data and Analytics practitioners in UK organisations for two years running.